Ecological Zoning Study on the Coupling of Land Use Intensity and Landscape Ecological Risk in Western Jilin: A Production–Living–Ecological Space Perspective DOI Open Access
Rina Su,

Yi Bole,

Zhijun Tong

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(24), P. 10992 - 10992

Published: Dec. 14, 2024

Ecological zoning is essential for optimizing regional ecological management and improving environmental protection efficiency. While previous studies have primarily focused on the independent analysis of land use intensity (LUI) landscape risk (LER), there has been limited research their coupled relationship. This study, conducted in Western Jilin (WJL), introduces an innovative method based Production–Living–Ecological Space (PLES) framework, which explores interactions between LUI LER, filling a gap existing research. The employs coupling coordination degree (CCD) model Geographic Information System (GIS) technology to construct LUI-ERI model, used delineate zones. results indicate that: (1) PLES study area predominantly production space (PS), with largest transfer being (PES) 2784.23 km2, most significant PS 3112.33 km2. (2) Between 2000 2020, both LER exhibited downward trends, opposite spatial distribution characteristics. “middle” zone “highest” were dominant types, covering approximately 46% 45% total area, respectively. (3) showed polarized trend, overall upward trajectory from 2020. (4) WJL can be categorized into core (ECP) zone, potential governance (EPG) comprehensive monitoring (ECM) optimization (EO) restoration (ER) occupying 61.63% area. provides novel perspective offers systematic scientific basis planning.

Language: Английский

Optimization of landscape ecological risk assessment method and ecological management zoning considering resilience DOI
Jin Wang, Jin Man Wang, Jianing Zhang

et al.

Journal of Environmental Management, Journal Year: 2025, Volume and Issue: 376, P. 124586 - 124586

Published: Feb. 18, 2025

Language: Английский

Citations

2
A Prediction–Interaction–Driving Framework for Ecosystem Services Under Climate Change and Human Activities: A Case Study of Zoigê County DOI Creative Commons
Wanting Zeng, Li He, Zhengwei He

et al.

Land, Journal Year: 2025, Volume and Issue: 14(3), P. 441 - 441

Published: Feb. 20, 2025

Under climate change and human activities, ecosystem service (ES) research lacks systematic approaches scientific depth. This study develops a comprehensive framework integrating advanced models to predict ESs, analyze interactions, identify key drivers, assess spatial effects on the Zoigê Plateau. The results indicate following: (1) From 2000 2020 across three 2040 scenarios, water conservation (WC) improves, while carbon storage (CS) habitat quality (HQ) decline, leading overall ES degradation. Core areas face rising degradation risks from 9% 29% under increasing environmental stress (SSP119 SSP585). (2) importance follows HQ > CS SC WC, with bivariate interactions outperforming single-factor effects. Future scenarios show weakened correlating higher ecological stress, indicating stability risks. (3) Land use (>40% explanatory power) is primary driver, urban expansion, slope, evapotranspiration, precipitation contribute (6–12%). (4) drivers showed weak patterns but became more stable future suggesting stronger control. provides methodological paradigm for analysis supports planning in alpine wetland–grassland regions.

Language: Английский

Citations

1
Integrating ecosystem services supply-demand balance into landscape ecological risk and its driving forces assessment in Southwest China DOI
Weijie Li,

Jinwen Kang,

Yong Wang

et al.

Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: unknown, P. 143671 - 143671

Published: Sept. 1, 2024

Language: Английский

Citations

4
Driving force analysis and multi-scenario simulation of landscape ecological risk in the Jianghan Plain, China DOI Creative Commons
Heng Liu, Zhou Lü,

Diwei Tang

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: Jan. 9, 2025

As a key food production base, land use changes in the Jianghan Plain (JHP) significantly affect surface landscape structure and ecological risks, posing challenges to security. Assessing risk of JHP, identifying its drivers, predicting trends under different scenarios can provide strategic support for management safeguarding security JHP. In this study, (LER) index was constructed by integrating indices from 2000 2020, firstly analyzing spatiotemporal characteristics, subsequently influencing factors using GeoDetector model, finally, simulating four Markov-PLUS model. The results showed that: (1) Cropland dominant use, most significant decreases increases occurred cropland built-up land, respectively. primary conversion interconversion water body. (2) LER exhibited trend initially increasing decreasing, levels were predominantly medium higher. spatial pattern high southeast low central northern areas. (3) patterns resulted combined effect multiple mainly influenced natural environment, which NDVI first factor. (4) intensity higher economic development than protection scenarios, predicted 2030 former latter two. These findings are important formulating scientific reasonable planning strategies balance growth preservation maintain sustainability

Language: Английский

Citations

0
Ecological Management Zoning Identification by Coupling Blue-Green and Gray Infrastructure Networks: A Case Study of Guizhou Province, China DOI Creative Commons
Shuang Song,

Xuanhe Zhang,

Shaohan Wang

et al.

Land, Journal Year: 2025, Volume and Issue: 14(1), P. 204 - 204

Published: Jan. 20, 2025

Ecological management zoning is crucial for maintaining regional ecological security and realizing differentiated urban governance. However, the existing methods are overly focused on functional attributes fail to adequately consider impacts of human activities, resulting in an insufficiently rational allocation resources. Taking Guizhou Province as example, using multi-source data spatial analysis tools, this study proposed framework based coupling blue-green infrastructure (BGI) network gray (GI) network. The results indicated that (1) BGI area included 179 sources, with a total 54,228.80 km2, 232 corridors. (2) There were 53 sources GI network, totaling 709.19 corridors first, second, third levels 11,469.31 km, 6703.54 5341.30 respectively. (3) 606 barrier points identified, mainly distributed central part area, disturbance zone was 1132.50 which had largest distribution Qiandongnan, followed by Qiannan. (4) At county scale, five zones identified four indicators, namely, source ratio corridor density ratio, point. Then, we targeted optimizations restorations each zone. This organically linked anthropogenic identify zones, will provide new perspectives synergies between protection economic development.

Language: Английский

Citations

0
Exploring the interactions and driving factors among typical ecological risks based on ecosystem services: A case study in the Sichuan-Yunnan ecological barrier area DOI Creative Commons
Weijie Li,

Jinwen Kang,

Yong Wang

et al.

Ecological Indicators, Journal Year: 2024, Volume and Issue: 170, P. 113000 - 113000

Published: Dec. 16, 2024

Language: Английский

Citations

1
Ecological Zoning Study on the Coupling of Land Use Intensity and Landscape Ecological Risk in Western Jilin: A Production–Living–Ecological Space Perspective DOI Open Access
Rina Su,

Yi Bole,

Zhijun Tong

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(24), P. 10992 - 10992

Published: Dec. 14, 2024

Ecological zoning is essential for optimizing regional ecological management and improving environmental protection efficiency. While previous studies have primarily focused on the independent analysis of land use intensity (LUI) landscape risk (LER), there has been limited research their coupled relationship. This study, conducted in Western Jilin (WJL), introduces an innovative method based Production–Living–Ecological Space (PLES) framework, which explores interactions between LUI LER, filling a gap existing research. The employs coupling coordination degree (CCD) model Geographic Information System (GIS) technology to construct LUI-ERI model, used delineate zones. results indicate that: (1) PLES study area predominantly production space (PS), with largest transfer being (PES) 2784.23 km2, most significant PS 3112.33 km2. (2) Between 2000 2020, both LER exhibited downward trends, opposite spatial distribution characteristics. “middle” zone “highest” were dominant types, covering approximately 46% 45% total area, respectively. (3) showed polarized trend, overall upward trajectory from 2020. (4) WJL can be categorized into core (ECP) zone, potential governance (EPG) comprehensive monitoring (ECM) optimization (EO) restoration (ER) occupying 61.63% area. provides novel perspective offers systematic scientific basis planning.

Language: Английский

Citations

0